Triple
T20961473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Farwaniyah Governorate |
E516256
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Farwaniya |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Farwaniya | Statement: [Al Farwaniyah Governorate, capital, Farwaniya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farwaniya Context triple: [Al Farwaniyah Governorate, capital, Farwaniya]
-
A.
Farwaniya
chosen
Farwaniya is a major residential and commercial district in Kuwait, known for its dense population and role as a key urban center near Kuwait City.
-
B.
Gharyan
Gharyan is a major town in northwestern Libya, known as an administrative and commercial center in the Nafusa Mountains region.
-
C.
Salmiya
Salmiya is a major coastal district in Kuwait known for its dense urban development, shopping centers, and popular seafront along the Arabian Gulf.
-
D.
Muharraq city
Muharraq city is a historic urban center in Bahrain, known as the country’s former capital and for its traditional architecture and cultural heritage.
-
E.
Al-Uqair
Al-Uqair is an ancient coastal port in eastern Saudi Arabia that historically served as a key trading and administrative gateway for the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6fd1d48190ad0ec7eb72f84889 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:31 p.m.